Build an Interactive Telegram Bot using Django

Build an Interactive Telegram Bot using Django, available at $34.99, has an average rating of 4.19, with 32 lectures, based on 8 reviews, and has 68 subscribers.

You will learn about Create Telegram Bot Create Django Project Customise Django Project Writing API for Third PartyInteraction To Deploy Code on EC2 Deploy using Fabric file This course is ideal for individuals who are College Students or Working Professionals or Hobbist It is particularly useful for College Students or Working Professionals or Hobbist.

Enroll now: Build an Interactive Telegram Bot using Django

Summary

Title: Build an Interactive Telegram Bot using Django

Price: $34.99

Average Rating: 4.19

Number of Lectures: 32

Number of Published Lectures: 32

Number of Curriculum Items: 32

Number of Published Curriculum Objects: 32

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Create Telegram Bot

Create Django Project

Customise Django Project

Writing API for Third PartyInteraction

To Deploy Code on EC2

Deploy using Fabric file

Who Should Attend

College Students

Working Professionals

Hobbist

Target Audiences

College Students

Working Professionals

Hobbist

In this course, we are going to build a Telegram bot which will interact with the Backend built with Django.

IDE we are going to use is IntelliJ IDEA.

We will write the services for Third Party.

Integrate these services to Telegram Bot.

Will add a lot of options in Telegram in order to make it useful for the end user.

We will Push the code to Github

Finally we will deploy the code on EC2.

Supervisor in to demonising the process

Integrate Sentry for Runtime exception in Projects

Use Fabfile for auto deployment on Servers.

Brief About what we are going to use.

Telegram Bot: Bots are simply Telegram accounts operated by software – not people – and they’ll often have AI features. They can do anything – teach, play, search, broadcast, remind, connect, integrate with other services, or even pass commands to the Internet of Things.

The problem we are going to solve

Django :

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design. Built by experienced developers, it takes care of much of the hassle of Web development, so you can focus on writing your app without needing to reinvent the wheel. It’s free and open source.

Ec2:

Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers. Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Demo of what we are going to build

Lecture 3: Resources

Chapter 2: Setting up Project Environment

Lecture 1: Installing Virtual Env

Lecture 2: Installing and Create Empty Django project

Lecture 3: Create Django App

Lecture 4: Create Django App

Chapter 3: Interacting with Third Party Services

Lecture 1: Intro about ThirdParty: APiSetu

Lecture 2: Create config and Objects file

Lecture 3: Creating Request file for making API calls

Lecture 4: Convert response to Objects

Lecture 5: Create Models for State and District

Chapter 4: Interacting with Telegram

Lecture 1: What we have learn till now

Lecture 2: About telegram and signup

Lecture 3: Create bot using botfather and use telegram example file

Lecture 4: Add options in Telegram Bot

Lecture 5: Some Refractoring

Lecture 6: Added more option to Telegram Bot

Lecture 7: Add bot to command handler

Chapter 5: Advance functionality for telegram bot

Lecture 1: Intro for Advance Option

Lecture 2: Add TelegramUser model

Lecture 3: Add TelegramUser Functionality

Lecture 4: Add Last searches and Back Button

Lecture 5: Add Cron for Notification to User

Chapter 6: Lets Deploy the project to AWS

Lecture 1: Introduction

Lecture 2: Deploy to AWS

Lecture 3: Install service using supervisor

Chapter 7: Miscellaneous Section. Useful tools and tips for Production purpose

Lecture 1: Introduction

Lecture 2: Add python-decouple reading secrets from .env

Lecture 3: Add code to git repo

Lecture 4: Auto Deployment using Fabric

Lecture 5: Add Sentry for Exception handling

Instructors

neeraj gupta
Software Engineer

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 2 votes

4 stars: 3 votes

5 stars: 3 votes

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